jailcd2023028: Research on optimization of cogeneration of cooling, heating and power in mixed buildings

Abstract

In order to relieve the pressure of national energy saving and emission reduction, improve the utilization rate of primary energy, and under the goal of "double carbon" development, the cooling, heating and power trigeneration system (CCHP) has been supported by the government's clean energy policy in the economically developed areas in the south because of its high clean and environmental performance, and its demonstration projects have been put into operation. And because of the low applicability of the combined supply system in residential buildings in severe cold regions, there is less research and practice on it. In order to fill the gap in its field and make the study constructive, this paper takes residential houses and office buildings, shopping malls, and hotels, respectively mixed in ratios of 0~1 as the study objects. Gas turbine and flue gas lithium bromide absorption chiller are selected as the energy supply configuration of the system. Then, we use "electricity to heat" as the operation mode. MATLAB is used to model the optimal objective function under the selected genetic algorithm to obtain the optimal building mix ratio under different constraints. The dates show that the residential and office buildings, the highest financial savings rate of 19.8% when the residential ratio of 0.2; residential and hotel buildings, its share of 0.1 when the CO2 reduction rate of up to 38%; and residential ratio of 0.1 and shopping malls mixed building residential primary energy savings rate of 18.7% of the best realization. The results of the study show that CCHP is feasible for application in hybrid buildings in the northern cold region, and provide a corresponding research theoretical basis for the field.